DocumentCode
2946584
Title
Comparison of target detection algorithms using adaptive background models
Author
Hall, D. ; Nascimento, J. ; Ribeiro, P. ; Andrade, E. ; Moreno, P. ; Pesnel, S. ; List, T. ; Emonet, R. ; Fisher, R.B. ; Victor, J. Santos ; Crowley, J.L.
Author_Institution
INRIA Rhone-Alpes, France
fYear
2005
fDate
15-16 Oct. 2005
Firstpage
113
Lastpage
120
Abstract
This article compares the performance of target detectors based on adaptive background differencing on public benchmark data. Five state of the art methods are described. The performance is evaluated using state of the art measures with respect to ground truth. The original points are the comparison to hand labelled ground truth and the evaluation on a large database. The simpler methods LOTS and SGM are more appropriate to the particular task as MGM using a more complex background model.
Keywords
object detection; video signal processing; adaptive background models; target detection algorithms; Art; Detectors; Humans; Image databases; Image processing; Object detection; Positron emission tomography; Real time systems; Testing; Video surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. 2nd Joint IEEE International Workshop on
Print_ISBN
0-7803-9424-0
Type
conf
DOI
10.1109/VSPETS.2005.1570905
Filename
1570905
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